Block-Oriented Identification of Nonlinear Systems: Neural Network approach towards Identification of Hammerstein and Wiener Models - Couverture souple

Azhar Ali, Syed Saad

 
9783838335575: Block-Oriented Identification of Nonlinear Systems: Neural Network approach towards Identification of Hammerstein and Wiener Models

Synopsis

This book is intended to serve as a reference for advanced research in the area of nonlinear system identification specializing in electrical/mechanical/ chemical engineering. Hammerstein and Wiener models are two of the most widely used architectures for block-oriented nonlinear system identification. This book focuses on the identification of hammerstein and wiener models. The identification algorithms are developed based on radial basis functions neural networks. The alogrithms are supported by numerous simulations and convergence analysis.

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Présentation de l'éditeur

This book is intended to serve as a reference for advanced research in the area of nonlinear system identification specializing in electrical/mechanical/ chemical engineering. Hammerstein and Wiener models are two of the most widely used architectures for block-oriented nonlinear system identification. This book focuses on the identification of hammerstein and wiener models. The identification algorithms are developed based on radial basis functions neural networks. The alogrithms are supported by numerous simulations and convergence analysis.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.